scholarly journals Macroeconomic variables and food price inflation, nonfood price inflation and overall inflation: A case of an emerging market

2017 ◽  
Vol 7 (2) ◽  
pp. 38-48
Author(s):  
Raphael T Mpofu
Keyword(s):  
Growth Rate ◽  
Emerging Market ◽  
Food Prices ◽  
Food Price ◽  
The South ◽  
Price Inflation ◽  
Macroeconomic Variables ◽  
Independent Variables ◽  
The Impact ◽  
Food Inflation

The paper analyses the association between certain macroeconomic variables and food price inflation, non-food price inflation and overall inflation in Zimbabwe, and also seeks to determine the level of association between these variables, given food security implications and overall well-being of its citizens. The study reveals that during the 2010 to 2016 period, Zimbabwe experienced stable food prices—annual food price inflation for food and non-alcoholic beverages averaged a relatively low growth rate of 0.12% monthly, while non-food inflation monthly growth rate was 0.09% and overall inflation growth rate was 0.11%. Although inflation from 2010 had been declining, of late, the increase in annual inflation has been underpinned by a rise in non-food inflation. Zimbabwe’s annual inflation remains lower than inflation rates in other countries in the region. Despite the increases lately in overall inflation, it remained below zero in January 2016, mostly driven by the depreciation of the South African rand and declining international oil prices. It should also be noted that domestic demand continued to decline in 2015, leading to the observed decline in both food and non-food prices. While food inflation has remained relatively low, it should be noted that non-food expenditures is significant component of the household budget and the rising prices result often lead to declining purchasing power and force households to make difficult choices in terms of their purchases. The findings of the study are food inflation has a low association with the independent variables under study; Zimbabwe broad money supply, rand-dollar exchange rates and the South Africa food inflation. There is, however, a very strong association between non-food inflation and these independent variables, as well as between overall inflation and the independent variables. Given the mostly rural population and the high level of unemployment in Zimbabwe, it can be surmised that the distributional burden of the effects of rising non-food prices between 2009 and 2016 fell mostly on these vulnerable groups as they had the lowest disposable income. In addition, it can also be surmised that domestic production can cushion the impact of rising prices in general, particularly on food. A deliberate policy of increasing domestic food production would therefore go a long way in ensuring lower price changes of both food and non-food items.

scholarly journals Measuring food inflation during the COVID-19 pandemic in real time using online data: a case study of Poland

2021 ◽  
Vol 123 (13) ◽  
pp. 260-280
Author(s):  
Krystian Jaworski
Keyword(s):  
Real Time ◽  
Alcoholic Beverage ◽  
Food Prices ◽  
Food Price ◽  
Online Data ◽  
Price Inflation ◽  
Content Type ◽  
Price Data ◽  
Online Stores ◽  
Food Inflation

PurposeThe purpose of this study paper is to focus on developing novel ways to monitor an economy in real time during the COVID-19 pandemic. A fully automated framework is proposed for collecting and analyzing online food prices in Poland. This is important, as the COVID-19 outbreak in Europe in 2020 has led many governments to impose lockdowns that have prevented manual price data collection from food outlets. The study primarily addresses whether food price inflation can be accurately measured during the pandemic using only a laptop and Internet connection, without needing to rely on official statistics.Design/methodology/approachThe big data approach was adopted to track food price inflation in Poland. Using the web-scraping technique, daily price information about individual food and non-alcoholic beverage products sold in online stores was gathered.FindingsBased on raw online data, reliable estimates of monthly and annual food inflation were provided about 30 days before final official indexes were published.Originality/valueThis is the first paper to focus on measuring inflation in real time during the COVID-19 pandemic. Monthly and annual food price inflation are estimated in real time and updated daily, thereby improving previous forecasting solutions with weekly or monthly indicators. Using daily frequency price data deepens understanding of price developments and enables more timely detection of inflation trends, both of which are useful for policymakers and market participants. This study also provides a review of crucial issues regarding inflation that emerged during the COVID-19 pandemic.

scholarly journals The Effects of Rising Food and Fuel Costs on Poverty in Pakistan

2008 ◽  
Vol 13 (Special Edition) ◽  
pp. 117-138 ◽  
Author(s):  
Theresa Thompson Chaudhry ◽  
Azam Amjad Chaudhry
Keyword(s):  
Food Prices ◽  
Food Price ◽  
Energy Price ◽  
Price Shocks ◽  
Price Inflation ◽  
Fuel Prices ◽  
Price Increases ◽  
Head Count ◽  
The Impact ◽  
Poverty Levels

The dramatic increase in international food and fuel prices in recent times is a crucial issue for developing countries and the most vulnerable to these price shocks are the poorest segments of society. In countries like Pakistan, the discussion has focused on the impact of substantially higher food and fuel prices on poverty. This paper used PSLM and MICS household level data to analyze the impact of higher food and energy prices on the poverty head count and the poverty gap ratio in Pakistan. Simulated food and energy price shocks present some important results: First, the impact of food price increases on Pakistani poverty levels is substantially greater than the impact of energy price increases. Second, the impact of food price inflation on Pakistani poverty levels is significantly higher for rural populations as compared to urban populations. Finally, food price inflation can lead to significant increases in Pakistani poverty levels: For Pakistan as a whole, a 20% increase in food prices would lead to an 8% increase in the poverty head count.

scholarly journals Determinants of food price inflation in Finland

2012 ◽  
pp. 1-7 ◽  
Author(s):  
Xavier Irz ◽  
Jyrki Niemi ◽  
Liu Xing
Keyword(s):  
Food Chain ◽  
Complex Structure ◽  
Food Prices ◽  
Food Price ◽  
Price Formation ◽  
Price Inflation ◽  
Vec Model ◽  
Long Run ◽  
The Impact ◽  
Long Run Equilibrium

The agricultural commodity crisis of 2006-8 and the recent evolution of commodity markets have reignited anxieties in Finland over fast-rising food prices and food security. Although the impact of farm commodity price shocks on the final consumer is mitigated by a large degree of processing as well as the complex structure of the food chain, little is known about the strength of the linkages between food markets and input markets. Using monthly series of price indices from 1995 to 2010, we estimate a vector error-correction (VEC) model in a co-integration framework in order to investigate the short-term and long-term dynamics of food price formation. The results indicate that a statistically significant long-run equilibrium relationship exists between the prices of food and those of the main variable inputs consumed by the food chain, namely agricultural commodities, labour, and energy. When judged by the magnitude of long-run pass-through rates, farm prices represent the main determinant of food prices, followed by wages in food retail and the price of energy. However, highly volatile energy prices are also important in explaining food price variability. The parsimonious VEC model suggests that the dynamics of food price formation is dominated by a relatively quick process of adjustment to the long-run equilibrium, the half life of the transitional dynamics being six to eight months following a shock.

scholarly journals Macroeconomic impacts of global food price shocks on the economy of Turkey

2018 ◽  
Vol 64 (No. 11) ◽  
pp. 517-525
Author(s):  
Ayhan KAPUSUZOGLU ◽  
Xi LIANG ◽  
Nildag Basak CEYLAN
Keyword(s):  
Food Prices ◽  
Food Price ◽  
Impulse Response Functions ◽  
Price Shocks ◽  
Macroeconomic Factors ◽  
Monthly Data ◽  
Vector Autoregressive ◽  
Macroeconomic Variables ◽  
Svar Model ◽  
The Impact

The purpose of this study is to examine the impact of food prices on the macroeconomic variables of Turkey. The effects are investigated using monthly data for the period January 1980–January 2016. A structural vector autoregressive (SVAR) model is employed for the analysis. Impulse response functions are obtained to assess the impact of food price shocks on the macroeconomic variables of Turkey. To this end, SVAR model is employed as suggested by Cushman and Zha (1997). The impulse responses gathered suggest that the food price causes Turkish Lira (TRY) to appreciate and inflation to increase contemporaneously. This study provides an important contribution to the literature in terms of determining the factors and presenting the measures to be taken against these factors for Turkey which is a developing country and sensitive to macroeconomic factors.

scholarly journals Assessing the effect of monetary policy on agricultural growth and food prices

2018 ◽  
Vol 64 (No. 11) ◽  
pp. 499-507
Author(s):  
Zulfiqar Ali WAGAN ◽  
Zhang CHEN ◽  
Seelro HAKIMZADI ◽  
Muhammad Sanaullah SHAH
Keyword(s):  
Monetary Policy ◽  
Interest Rates ◽  
Labour Force ◽  
Food Prices ◽  
Price Inflation ◽  
Vector Autoregressive ◽  
Agricultural Growth ◽  
Effect Of Monetary Policy ◽  
The Impact ◽  
Food Inflation

Agricultural growth is closely associated with sustainable economic development. This is especially true from the perspective of developing countries, such as India and Pakistan, where significant portions of the labour force are dependent on agriculture for their livelihood. This study analysed the impact of macroeconomic policy (i.e. monetary policy) on employment, food inflation, and agricultural growth by analysing to what extent monetary policy is effective in controlling food price inflation, the effect of contractionary monetary policy on the agricultural sector’s employment and productivity, and the extent of monetary policy transmission to money market rates and 10-year interest rates. We did so by applying a factor-augmented vector autoregressive model proposed by Bernanke et al. (2005) to agricultural data from 1995 and 1996 to 2016 for India and Pakistan, respectively. We found that tight monetary policy significantly reduced food inflation and agricultural production while increasing the rural unemployment rate. Short-term and 10-year interest rates increased owing to the contractionary monetary policies pursued by both countries. An inclusive monetary policy whereby policymakers work alongside governments to achieve price stabilisation and reasonable employment rates is recommended.

scholarly journals The impact of world oil and food price shocks on the interdependence of Brazil and Russia: SVAR-DCC-GARCH model

2021 ◽  
Vol 2 (4) ◽  
pp. 47-76
Author(s):  
Samkelisiwe Bhebhe ◽  
Ian Ndlovu
Keyword(s):  
Garch Model ◽  
Spillover Effects ◽  
Food Prices ◽  
Food Price ◽  
Stationary Time Series ◽  
Empirical Literature ◽  
Series Data ◽  
Price Shocks ◽  
Macroeconomic Variables ◽  
The Impact

This study seeks to identify the extent to which global oil and food price volatilities affected the interdependence of the Brazilian and Russian economies in the period from 1996 to 2021. The ARCH/GARCH framework was used to model the volatility of oil and food prices. The Structural Vector Autoregressive (SVAR) approach was used to ascertain the sensitivity of key economic indicators to oil and food shocks. The Impulse Response Function (IRF) was used to trace short-term effects over a period of 12 months. Subsequently, the multivariate dynamic conditional correlation DCC-GARCH model, created by Engle & Sheppard (2001), was used to model time-varying correlations of paired macroeconomic variables. This study contributes to the empirical literature in two fundamental ways. Firstly, it pairs the two largest oil and food producers in the BRICS bloc. Secondly, unlike some earlier studies, the applied methodology ensures the effectiveness of the results by using stationary time series data. The results show that Brazil and Russia have long-run spillover effects for all macroeconomic variables in response to both oil and food price shocks. Furthermore, money supply and exchange rate variables exhibited declining positive correlation coefficients during the global financial crisis of 2008–2009, but peaked in early 2020 due to the Covid-19 pandemic. As a corollary of the main findings, the researchers recommend that investors should diversify their portfolios beyond these two economies in order to minimize the risk of contagion during severe global crises.

Global Food Commodity Prices and Domestic Food Inflation: Some Insights from Morocco

New Medit ◽  
2020 ◽  
Vol 19 (3) ◽  
Author(s):  
Ahmed EL GHIN ◽  
Mounir EL-KARIMI
Keyword(s):  
Exchange Rate Regime ◽  
Commodity Prices ◽  
Food Prices ◽  
Consumer Prices ◽  
Floating Exchange Rate ◽  
Pass Through ◽  
The Impact ◽  
Food Inflation ◽  
Global Food ◽  
Domestic Food

This paper examines the world commodity prices pass-through to food inflation in Morocco, over the period 2004-2018, by using Structural Vector Autoregression (SVAR) model on monthly data. Several interesting results are found from this study. First, the impact of global food prices on domestic food inflation is shown significant, which reflects the large imported component in the domestic food consumption basket. Second, the transmission effect is found to vary across commodities. Consumer prices of cereals and oils significantly and positively respond to external price shocks, while those of dairy and beverages are weakly influenced. Third, there is evidence of asymmetries in the pass-through from world to domestic food prices, where external positive shocks generate a stronger local prices response than negative ones. This situation is indicative of policy and market distortions, namely the subsidies, price controls, and weak competitive market structures. Our findings suggest that food price movements should require much attention in monetary policymaking, especially that the country has taken preliminary steps towards the adoption of floating exchange rate regime.

scholarly journals The Impact of Macroeconomic Variables on Sectoral Indices in Indonesia

ETIKONOMI ◽  
2017 ◽  
Vol 16 (1) ◽  
pp. 71-80 ◽  
Author(s):  
Bambang Sutrisno
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Inflation Rate ◽  
Emerging Market ◽  
Estimation Method ◽  
Least Square ◽  
Series Data ◽  
Macroeconomic Variables ◽  
The Interest Rate ◽  
The Impact

This study aims to examine the effect of macroeconomic variables on sectoral indices in the Indonesian Stock Exchange. The difference in sensitiveness among sectors is an interesting issue to investigate this relationship in an emerging market, such as Indonesia. This study employs ordinary least square (OLS) as an estimation method with monthly time-series data from January 2005 to December 2014. The results document that the interest rate, inflation rate, and exchange rate simultaneously have a significant effect on sectoral indices in Indonesia. The interest rate partially shows a significant negative influence on all sectors except basic industry and chemical, finance, infrastructure, utilities, and transportation, and miscellaneous industry sectors. The inflation rate partially has no significant effect on all sectors. The exchange rate partially has a significant negative impact on all industries.DOI: 10.15408/etk.v16i1.4323

scholarly journals THE IMPACT OF THE WORLD FOOD PRICE INDEX ON SOME EAST-EUROPEAN ECONOMIES

2018 ◽  
Vol 19 (2) ◽  
pp. 268-287
Author(s):  
Corina Saman ◽  
Cecilia Alexandri
Keyword(s):  
Price Volatility ◽  
Agricultural Trade ◽  
Food Prices ◽  
Food Price ◽  
Long Run ◽  
Short Run ◽  
Positive Shock ◽  
Macroeconomic Implications ◽  
The Impact ◽  
Global Food

This paper deals with the dynamic response of exchange rates, inflation and agricultural foreign trade in Bulgaria, Poland and Romania to global food prices. We employ time-varying VARs with stochastic volatility to estimate the behaviour of these macroeconomic variables over the 2001M1–2015M12 period. The original contribution of this paper is that it captures the time variation and nonlinearities of the relationship between variables taking into account food price volatility and its macroeconomic implications. The main findings of the paper are: (i) high global food prices were transmitted to domestic economies causing pressure on inflation in the long run; (ii) in the short run the impact of a positive shock in international food price increases domestic inflation, depreci-ates the currency and reduces the agricultural trade; (iii) the vulnerabilities to global food prices are more pregnant for Romania and Bulgaria; (iv) the difference in the transmission of world prices is related to the different status of the countries as regards food and agricultural trade. The findings of the research would be significant for the governments to promote policies to help farmers respond to the rising of food prices by growing more and responding to export opportunities that may arise.

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